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08/15/2023
An Interpretable Machine Learning Model with Deep Learning-based Imaging Biomarkers for Diagnosis of Alzheimer's Disease
Machine learning methods have shown large potential for the automatic ea...
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06/29/2022
Computer-aided diagnosis and prediction in brain disorders
Computer-aided methods have shown added value for diagnosing and predict...
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12/15/2021
Ten years of image analysis and machine learning competitions in dementia
Machine learning methods exploiting multi-parametric biomarkers, especia...
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08/19/2021
Reproducible radiomics through automated machine learning validated on twelve clinical applications
Radiomics uses quantitative medical imaging features to predict clinical...
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12/28/2020
Longitudinal diffusion MRI analysis using Segis-Net: a single-step deep-learning framework for simultaneous segmentation and registration
This work presents a single-step deep-learning framework for longitudina...
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12/16/2020
Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease
This work validates the generalizability of MRI-based classification of ...
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11/03/2020
Learning unbiased registration and joint segmentation: evaluation on longitudinal diffusion MRI
Analysis of longitudinal changes in imaging studies often involves both ...
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09/15/2020
Analyzing the effect of APOE on Alzheimer's disease progression using an event-based model for stratified populations
Alzheimer's disease (AD) is the most common form of dementia and is phen...
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05/26/2020
Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging
Subtle changes in white matter (WM) microstructure have been associated ...
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02/09/2020
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
We present the findings of "The Alzheimer's Disease Prediction Of Longit...
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01/23/2020
TADPOLE Challenge: Accurate Alzheimer's disease prediction through crowdsourced forecasting of future data
The TADPOLE Challenge compares the performance of algorithms at predicti...
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03/08/2019
Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia
Event-based models (EBM) are a class of disease progression models that ...
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08/10/2018
Disease Progression Timeline Estimation for Alzheimer's Disease using Discriminative Event Based Modeling
Alzheimer's Disease (AD) is characterized by a cascade of biomarkers bec...
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05/10/2018
